Qianfeng Wen

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval

Dense Passage Retrieval (DPR) typically relies on Euclidean or cosine distance to measure query–passage relevance in embedding space, which is effective when embeddings lie on a linear manifold. However, our experiments across DPR benchmarks suggest that embeddings often lie on lower-dimensional, no